Gigabyte Technology Co., Ltd. Z890 AORUS MASTER
Geekbench AI Score
46580
Single Precision Score
69266
Half Precision Score
34531
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | airoas |
| Upload Date | September 10 2025 05:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS MASTER |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16439
3.06 KIPS |
|
|
Image Classification (HP)
|
100% |
21274
3.96 KIPS |
|
|
Image Classification (Q)
|
100% |
14254
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35419
574.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
45722
741.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
32486
528.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
408109
476.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
972428
1.13 KIPS |
|
|
Pose Estimation (Q)
|
96% |
329495
386.0 IPS |
|
|
Object Detection (SP)
|
100% |
22741
1.80 KIPS |
|
|
Object Detection (HP)
|
100% |
29078
2.31 KIPS |
|
|
Object Detection (Q)
|
85% |
19148
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
68423
813.0 IPS |
|
|
Face Detection (HP)
|
100% |
89917
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
54754
652.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
105493
812.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
186047
1.43 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76491
612.7 IPS |
|
|
Style Transfer (SP)
|
100% |
600374
771.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1669490
2.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
503700
649.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
70790
2.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
97019
3.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51208
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
4204
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4915
6.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2419
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6900
118.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6941
119.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3158
59.2 IPS |
